code: def test_print_progress_2():
      ada = Adaline(
          epochs=30,
          eta=0.01,
          minibatches=1,
          print_progress=2,
          random_seed=1,
      )
      ada.fit(X_std, y1)
  
file_path: mlxtend/mlxtend/classifier/tests/test_adaline.py
imports: import sys
  import numpy
  from sklearn.base import clone
  from mlxtend.classifier import Adaline
  from mlxtend.data import iris_data
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 6 for calling a global function with example usage: test_print_progress_2() without return types